Expanding the Indications of Robotic Partial Nephrectomy for Highly Complex Renal Tumors: Urologists' Perception of the Impact of Hyperaccuracy Three-Dimensional Reconstruction

2019 ◽  
Vol 29 (2) ◽  
pp. 233-239 ◽  
Author(s):  
Riccardo Bertolo ◽  
Riccardo Autorino ◽  
Cristian Fiori ◽  
Daniele Amparore ◽  
Enrico Checcucci ◽  
...  



2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Haruyuki Ohsugi ◽  
Kyojiro Akiyama ◽  
Hisanori Taniguchi ◽  
Masaaki Yanishi ◽  
Motohiko Sugi ◽  
...  

AbstractThere are several nephrometry scoring systems for predicting surgical complexity and potential perioperative morbidity. The R.E.N.A.L. scoring system, one of the most well-known nephrometry scoring systems, emphasizes the features on which it is based (Radius, Exophytic/endophytic, Nearness to collecting system or sinus, Anterior/posterior, and Location relative to polar lines). The ability of these nephrometry scoring systems to predict loss of renal function after robotic partial nephrectomy (RPN) remains controversial. Therefore, we verified which combination of factors from nephrometry scoring systems, including tumor volume, was the most significant predictor of postoperative renal function. Patients who underwent RPN for cT1 renal tumors in our hospital were reviewed retrospectively (n = 163). The preoperative clinical data (estimated glomerular filtration rate [eGFR], comorbidities, and nephrometry scoring systems including R.E.N.A.L.) and perioperative outcomes were evaluated. We also calculated the tumor volume using the equation applied to an ellipsoid by three-dimensional computed tomography. The primary outcome was reduced eGFR, which was defined as an eGFR reduction of ≥ 20% from baseline to 6 months after RPN. Multivariable logistic regression analyses were used to evaluate the relationships between preoperative variables and reduced eGFR. Of 163 patients, 24 (14.7%) had reduced eGFR. Multivariable analyses indicated that tumor volume (cutoff value ≥ 14.11 cm3, indicating a sphere with a diameter ≥ approximately 3 cm) and tumor crossing of the axial renal midline were independent factors associated with a reduced eGFR (odds ratio [OR] 4.57; 95% confidence interval [CI] 1.69–12.30; P = 0.003 and OR 3.50; 95% CI 1.30–9.46; P = 0.034, respectively). Our classification system using these two factors showed a higher area under the receiver operating characteristic curve (AUC) than previous nephrometry scoring systems (AUC = 0.786 vs. 0.653–0.719), and it may provide preoperative information for counseling patients about renal function after RPN.





The Knee ◽  
2020 ◽  
Vol 27 (1) ◽  
pp. 89-94 ◽  
Author(s):  
Thomas Legrand ◽  
Vincent Richard ◽  
Alice Bonnefoy-Mazure ◽  
Stéphane Armand ◽  
Hermes H. Miozzari ◽  
...  


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Haijie Zhang ◽  
Fu Yin ◽  
Liyang Yang ◽  
Anqi Qi ◽  
Weiwei Cui ◽  
...  

This study was to explore the clinical application value of computed tomography (CT) images based on a three-dimensional (3D) reconstruction algorithm for laparoscopic partial nephrectomy (LPN) in patients with renal tumors. 30 cases of renal cell carcinoma (RCC) patients admitted to the hospital were selected as the research objects and were rolled into two groups using a random table method. The patients who received PLN under the three-dimensional reconstruction and laparoscopic technique were included in the experimental group (group A), and the patients who received LPN using CT images only were included in the control group (group B). In addition, the treatment results of the two groups of patients were compared and analyzed. Results. The effective rate of the established model was 93.3%; the total renal arteriovenous variability of group A (13.3%) was higher than that of group B (6.7%), and the operation time (131.5 ± 32.1 minutes) was much lower than that of group B (158.7 ± 36.2 minutes), showing statistical significance ( P  < 0.05). Conclusion. CT images based on 3D reconstruction algorithms had high clinical application value for LPN in patients with renal tumors, which could improve the efficiency and safety of LPN.





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